Dynamic Parcel Aggregation with Clustering
Detecting stable dynamic parcellation in fMRI data on the full brain.
The algorithm is a simple two level clustering, one on sliding time windows, and one on indicator functions of parcels agreggated over many windows. Optionally the approach can be iterated over several runs.
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Release files for dypac 0.7.1
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| dypac-0.7.1.tar.gz | 13.3 kB | Without provenance | Details for dypac-0.7.1.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| dypac-0.7.1-py3-none-any.whl | Python 3 | none | any | Details for dypac-0.7.1-py3-none-any.whl |
Total release size: 29.0 kB
Release files / dypac-0.7.1.tar.gz
| Download URL | dypac-0.7.1.tar.gz |
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| Size | 13.3 kB |
| Tags | Source |
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Release files / dypac-0.7.1-py3-none-any.whl
| Download URL | dypac-0.7.1-py3-none-any.whl |
|---|---|
| Size | 15.7 kB |
| Tags | Python 3 |
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twine/4.0.1 CPython/3.8.10
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